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2 changes: 1 addition & 1 deletion pyproject.toml
Original file line number Diff line number Diff line change
Expand Up @@ -9,7 +9,7 @@ packages = [
{include = "**/*.py", from = "src"},
]
readme = "README.md"
version = "0.21.0"
version = "0.21.1"

[tool.poetry.dependencies]
# For certifi, use ">=" instead of "^" since it upgrades its "major version" every year, not really following semver
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4 changes: 4 additions & 0 deletions src/groundlight/internalapi.py
Original file line number Diff line number Diff line change
Expand Up @@ -65,13 +65,17 @@ def iq_is_confident(iq: ImageQuery, confidence_threshold: float) -> bool:
The only subtlety here is that currently confidence of None means
human label, which is treated as confident.
"""
if not iq.result:
return False
return iq.result.confidence >= confidence_threshold # type: ignore


def iq_is_answered(iq: ImageQuery) -> bool:
"""Returns True if the image query has a ML or human label.
Placeholder and special labels (out of domain) have confidences exactly 0.5
"""
if not iq.result:
return False
if (iq.result.source == Source.STILL_PROCESSING) or (iq.result.source is None): # Should never be None
return False
return True
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14 changes: 14 additions & 0 deletions test/unit/test_internalapi.py
Original file line number Diff line number Diff line change
@@ -0,0 +1,14 @@
from groundlight import ExperimentalApi
from groundlight.internalapi import iq_is_answered, iq_is_confident


def test_iq_is_confident(gl_experimental: ExperimentalApi):
det = gl_experimental.get_or_create_detector("Test", "test_query")
iq = gl_experimental.ask_async(det, image="test/assets/dog.jpeg", wait=10)
assert not iq_is_confident(iq, 0.9)


def test_iq_is_answered(gl_experimental: ExperimentalApi):
det = gl_experimental.get_or_create_detector("Test", "test_query")
iq = gl_experimental.ask_async(det, image="test/assets/dog.jpeg", wait=10)
assert not iq_is_answered(iq)